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Data explosion in medicine: challenges and opportunities
1. Ourlad Alzeus G. Tantengco
MD-PhD Molecular Medicine Student (5th Year)
College of Medicine
University of the Philippines Manila
Email: ogtantengco@up.edu.ph
Presented at the 2nd UST SHS STEMP Camp "One STEM Forward: Vision 2050“. March 6, 2019
3. • 56/M known case of lung cancer,
Roman Catholic from Sta. Ana
Manila
• Chief Complaint: Weakness in the
left lower leg
• 1 month prior to admission, the
patient experienced weakness in
the left lower leg with associated
blurring of vision and headache.
Progression of symptoms
prompted consult at our
institution.
4. Imaging analytics are making algorithms that can analyze the pixel
and other bits and bytes of data contained within the image to
detect the distinct patterns associated with a pathology.
7. Densen P. 2011. Challenges and Opportunities Facing Medical Education. Transactions of the American Clinical and Climatological Association. 122: 48-58
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16. Source: Rumsfield et al. 2016. Big data analytics to improve cardiovascular care: promise and challenges. Nat Rev Cardiol.;13(6):350-9
17. Source: Greene SM, Reid RJ, Larson EB.2012. Implementing the learning health system: from concept to action. Ann Inter Med;157:207-10
21. Source: Healthcare Data Institute. 2015. Unlocking the full potential of data analytics for the benefit of all. 21, Rue Jasmin 75016 Paris, France.
22. • Significantly improve decision-making on
the design of the right treatment
protocols and the choice of adequate
treatment for a given patient
• Help assess and understand healthcare
needs in a given location
Source: Healthcare Data Institute. 2015. Unlocking the full potential of data analytics for the benefit of all. 21, Rue Jasmin 75016 Paris, France.
23. • Improving early diagnostics by pooling
information to identify new biomarkers
• Refining the understanding of chronic
pathologies
• Accelerating the discovery and
development of new drugs and therapies,
at every stage of the R&D process
Source: Healthcare Data Institute. 2015. Unlocking the full potential of data analytics for the benefit of all. 21, Rue Jasmin 75016 Paris, France.
24. • Facilitating drug/ device evaluation
• Enabling the development of personalized
medicine
• Fostering the emergence of a new era of
data-assisted decision-making
Source: Healthcare Data Institute. 2015. Unlocking the full potential of data analytics for the benefit of all. 21, Rue Jasmin 75016 Paris, France.
25. • Evaluating health status of the population and
informing the planning and reconfiguration of
healthcare services
• Improving detection and interpretation of early/
weak signals in public health surveillance
Source: Healthcare Data Institute. 2015. Unlocking the full potential of data analytics for the benefit of all. 21, Rue Jasmin 75016 Paris, France.
26. Source: Rumsfield et al. 2016. Big data analytics to improve cardiovascular care: promise and challenges. Nat Rev Cardiol.;13(6):350-9
31. Source: Byyny RL. 2012. The data deluge: the information explosion in medicine and science. Pharos Alpha Omega Alpha Honor Med Soc.;75(2):2-5.
32. …the conscientious, explicit, and judicious use
of current best evidence in making decisions
about the care of individual patients (Sacket,
2006).
…systematic approach to clinical problem
solving which allows the integration of the
best available research evidence with clinical
expertise and patient values (Sacket, 2000).
…a systematic approach to acquisition,
appraisal and application of research
evidence to guide decisions in healthcare
(Dans, 2008).
36. Physicians and other
scientists are good and
getting better at producing
data. But we must become
proficient—with or without
the help of technology—at
mining and managing the
data in ways that will allow
us to use it to maximum
effect. - Richard L. Byyny, MD,
FACP